2023
Bravenec, Tomás
Exploiting Wireless Communications for Localization: Beyond Fingerprinting PhD Thesis
Universitat Jaume I. INIT, 2023.
Abstract | Links | BibTeX | Tags: A-wear, data analysis methods, geoprivacy, Indoor positioning, machine learning
@phdthesis{Bravenec2023d,
title = {Exploiting Wireless Communications for Localization: Beyond Fingerprinting},
author = {Tomás Bravenec},
url = {http://hdl.handle.net/10803/689593},
doi = {http://dx.doi.org/10.6035/14124.2023.868082},
year = {2023},
date = {2023-12-18},
school = {Universitat Jaume I. INIT},
abstract = {The field of Location-based Services (LBS) has experienced significant growth over the past decade, driven by increasing interest in fitness tracking, robotics, and eHealth. This dissertation focuses on evaluating privacy measures in Indoor Positioning Systems (IPS), particularly in the context of ubiquitous Wi-Fi networks. It addresses non-cooperative user tracking through the exploitation of unencrypted Wi-Fi management frames, which contain enough information for device fingerprinting despite MAC address randomization. The research also explores an algorithm to estimate room occupancy based on passive Wi-Fi frame sniffing and Received Signal Strength Indicator (RSSI) measurements. Such room occupancy detection has implications for energy regulations in smart buildings. Furthermore, the thesis investigates methods to reduce computational requirements of machine learning and positioning algorithms through optimizing neural networks and employing interpolation techniques for IPS based on RSSI fingerprinting. The work contributes datasets, analysis scripts, and firmware to improve reproducibility and supports advancements in the LBS field.},
keywords = {A-wear, data analysis methods, geoprivacy, Indoor positioning, machine learning},
pubstate = {published},
tppubtype = {phdthesis}
}
The field of Location-based Services (LBS) has experienced significant growth over the past decade, driven by increasing interest in fitness tracking, robotics, and eHealth. This dissertation focuses on evaluating privacy measures in Indoor Positioning Systems (IPS), particularly in the context of ubiquitous Wi-Fi networks. It addresses non-cooperative user tracking through the exploitation of unencrypted Wi-Fi management frames, which contain enough information for device fingerprinting despite MAC address randomization. The research also explores an algorithm to estimate room occupancy based on passive Wi-Fi frame sniffing and Received Signal Strength Indicator (RSSI) measurements. Such room occupancy detection has implications for energy regulations in smart buildings. Furthermore, the thesis investigates methods to reduce computational requirements of machine learning and positioning algorithms through optimizing neural networks and employing interpolation techniques for IPS based on RSSI fingerprinting. The work contributes datasets, analysis scripts, and firmware to improve reproducibility and supports advancements in the LBS field.
2022
Acedo-Sánchez, Albert; González-Pérez, Alberto; Granell-Canut, Carlos; Casteleyn, Sven
Emotive facets of place meet urban analytics Journal Article
In: Transactions in GIS, vol. 26, no. 7, pp. 2954–2974, 2022, ISSN: 1361-1682.
Abstract | Links | BibTeX | Tags: data analysis methods, sense of place, symptoms
@article{Acedo2022a,
title = {Emotive facets of place meet urban analytics},
author = {Albert Acedo-Sánchez and Alberto González-Pérez and Carlos Granell-Canut and Sven Casteleyn},
doi = {https://doi.org/10.1111/tgis.12990},
issn = {1361-1682},
year = {2022},
date = {2022-11-30},
journal = {Transactions in GIS},
volume = {26},
number = {7},
pages = {2954–2974},
abstract = {The lack of a well-established and unified place theory across disciplines is decelerating its formalization, evolution, and especially its pragmatic implications and applicability. In this article, we identify research gaps in the emotive facets of place scholarship. We found that it: (1) rarely joins physical, social, and individual variables in the same model; (2) omits the immediately perceived and sensory dimensions; (3) disregards the analysis of how individual–place emotive relationships vary across time; and (4) overlooks the difficulties of reducing multifaceted emotive facets of place into geographic features. Next, we examine these research gaps through the lens of technology-based advancements in urban analytics. Finally, we discuss the need to combine social-oriented research and (spatial) data-driven disciplines to enrich and expand the research area of emotive facets of place and connected disciplines.},
keywords = {data analysis methods, sense of place, symptoms},
pubstate = {published},
tppubtype = {article}
}
The lack of a well-established and unified place theory across disciplines is decelerating its formalization, evolution, and especially its pragmatic implications and applicability. In this article, we identify research gaps in the emotive facets of place scholarship. We found that it: (1) rarely joins physical, social, and individual variables in the same model; (2) omits the immediately perceived and sensory dimensions; (3) disregards the analysis of how individual–place emotive relationships vary across time; and (4) overlooks the difficulties of reducing multifaceted emotive facets of place into geographic features. Next, we examine these research gaps through the lens of technology-based advancements in urban analytics. Finally, we discuss the need to combine social-oriented research and (spatial) data-driven disciplines to enrich and expand the research area of emotive facets of place and connected disciplines.
2021
Granell-Canut, Carlos; Pesántez-Cabrera, Paola; Vilches-Blázquez, Luis; Achig, Rosario; Luaces, Miguel; Cortiñas-Álvarez, Alejandro; Chayle, Carolina; Morocho-Zurita, Villie
A scoping review on the use, processing and fusion of geographic data in virtual assistants Journal Article
In: Transactions in GIS, vol. 25, no. 4, pp. 1784-1808, 2021, ISBN: 1361-1682.
Abstract | Links | BibTeX | Tags: data analysis methods, Geographic Information Systems (GIS), review, virtual assistants
@article{Granell2021,
title = {A scoping review on the use, processing and fusion of geographic data in virtual assistants},
author = {Carlos Granell-Canut and Paola Pesántez-Cabrera and Luis Vilches-Blázquez and Rosario Achig and Miguel Luaces and Alejandro Cortiñas-Álvarez and Carolina Chayle and Villie Morocho-Zurita},
doi = {https://doi.org/10.1111/tgis.12720},
isbn = {1361-1682},
year = {2021},
date = {2021-01-05},
journal = {Transactions in GIS},
volume = {25},
number = {4},
pages = {1784-1808},
abstract = {Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.},
keywords = {data analysis methods, Geographic Information Systems (GIS), review, virtual assistants},
pubstate = {published},
tppubtype = {article}
}
Virtual assistants are a growing area of research in academia and industry, with an impact on people’s daily lives. Many disciplines in science are moving towards the incorporation of intelligent virtual assistants in multiple scenarios and application domains, and GIScience is not external to this trend since they may be connected to intelligent spatial decision support systems. This article presents a scoping review to indicate relevant literature pertinent to intelligent virtual assistants and their usage of geospatial information and technologies. In particular, the study was designed to find critical aspects of GIScience and how to contribute to the development of virtual assistants. Moreover, this work explores the most prominent research lines as well as relevant technologies/platforms to determine the main challenges and current limitations regarding the use and implementation of virtual assistants in geospatial-related fields. As a result, this review shows the current state of geospatial applications regarding the use of intelligent virtual assistants, as well as revealing gaps and limitations in the use of spatial methods, standards, and resources available in spatial data infrastructures to develop intelligent decision systems based on virtual assistants for a wide array of application domains.
2016
Granell-Canut, Carlos; Ostermann, Frank O.
Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management Journal Article
In: Computers, Environment and Urban Systems, pp. in press, 2016, ISSN: 0198-9715, (IF: 2.659 - 23/105 (Q1) Environmental Studies 2.659 - 13/79 (Q1) Geography ).
Abstract | Links | BibTeX | Tags: crowdsourcing, data analysis methods, Disaster management, Geo-social media, RyC-Granell, Systematic mapping, VGI
@article{GranellCanut2016a,
title = {Beyond data collection: Objectives and methods of research using VGI and geo-social media for disaster management},
author = { Carlos Granell-Canut and Frank O. Ostermann},
url = {http://dx.doi.org/10.1016/j.compenvurbsys.2016.01.006},
doi = {10.1016/j.compenvurbsys.2016.01.006},
issn = {0198-9715},
year = {2016},
date = {2016-01-01},
journal = {Computers, Environment and Urban Systems},
pages = {in press},
publisher = {Elsevier Ltd},
abstract = {This paper investigates research using VGI and geo-social media in the disaster management context. Relying on the method of systematic mapping, it develops a classification schema that captures three levels of main category, focus, and intended use, and analyzes the relationships with the employed data sources and analysis methods. It focuses the scope to the pioneering field of disaster management, but the described approach and the developed classification schema are easily adaptable to different application domains or future developments. The results show that a hypothesized consolidation of research, characterized through the building of canonical bodies of knowledge and advanced application cases with refined methodology, has not yet happened. The majority of the studies investigate the challenges and potential solutions of data handling, with fewer studies focusing on socio-technological issues or advanced applications. This trend is currently showing no sign of change, highlighting that VGI research is still very much technology-driven as opposed to theory- or application-driven. From the results of the systematic mapping study, the authors formulate and discuss several research objectives for future work, which could lead to a stronger, more theory-driven treatment of the topic VGI in GIScience.},
note = {IF: 2.659 - 23/105 (Q1) Environmental Studies
2.659 - 13/79 (Q1) Geography
},
keywords = {crowdsourcing, data analysis methods, Disaster management, Geo-social media, RyC-Granell, Systematic mapping, VGI},
pubstate = {published},
tppubtype = {article}
}
This paper investigates research using VGI and geo-social media in the disaster management context. Relying on the method of systematic mapping, it develops a classification schema that captures three levels of main category, focus, and intended use, and analyzes the relationships with the employed data sources and analysis methods. It focuses the scope to the pioneering field of disaster management, but the described approach and the developed classification schema are easily adaptable to different application domains or future developments. The results show that a hypothesized consolidation of research, characterized through the building of canonical bodies of knowledge and advanced application cases with refined methodology, has not yet happened. The majority of the studies investigate the challenges and potential solutions of data handling, with fewer studies focusing on socio-technological issues or advanced applications. This trend is currently showing no sign of change, highlighting that VGI research is still very much technology-driven as opposed to theory- or application-driven. From the results of the systematic mapping study, the authors formulate and discuss several research objectives for future work, which could lead to a stronger, more theory-driven treatment of the topic VGI in GIScience.